Spotlight Talks
in
Workshop: Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
Two Spotlight Talks
Abstract:
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation. Presenter: Wei-Ning Chen
On the Still Unreasonable Effectiveness of Federated Averaging for Heterogeneous Distributed Learning. Presenter: Lingxiao Wang
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